Energy Models for Graph Clustering

Energy Models for Graph Clustering

The cluster structure of many real-world graphs is of great interest, as the clusters may correspond e.g. to communities in social networks or to cohesive modules in software systems. Layouts can naturally represent the cluster structure of graphs by grouping densely connected nodes and separating sparsely connected nodes. This article introduces two energy models whose minimum energy layouts r...

An Energy Model for Visual Graph Clustering

We introduce an energy model whose minimum energy drawings reveal the clusters of the drawn graph. Here a cluster is a set of nodes with many internal edges and few edges to nodes outside the set. The drawings of the bestknown force and energy models do not clearly show clusters for graphs whose diameter is small relative to the number of nodes. We formally characterize the minimum energy drawi...

An Energy Model for Visual Graph Clustering (Long Paper)

We introduce an energy model whose minimum energy drawings reveal the clusters of the drawn graph. Here a cluster is a set of nodes with many internal edges edges and few edges to outside nodes. The drawings of previous force and energy models do not clearly show clusters for graphs with small diameter. We formally characterize the minimum energy drawings of our energy model. This characterizat...

Finding Community Base on Web Graph Clustering

Search Pointers organize the main part of the application on the Internet. However, because of Information management hardware, high volume of data and word similarities in different fields the most answers to the user s’ questions aren`t correct. So the web graph clustering and cluster placement in corresponding answers helps user to achieve his or her intended results. Community (web communit...

Spectral Relaxation Models and Structure Analysis for K-way Graph Clustering and Bi-clustering